Hybrid Quantum-Classical Convolutional Neural Network for Allen Telescope SETI image Classification
Author:
Affiliation:
1. Amrita School of Engineering,CSE,Chennai
2. Vellore Institute of Technology,School of Computer Science and Engineering,Chennai
3. Amrita School of Engineering,Librarian, Central Library,Chennai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10308102.pdf?arnumber=10308102
Reference25 articles.
1. Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence;cox,2018
2. Machine Vision and Deep Learning for Classification of Radio SETI Signals;harp,2019
3. Quantum Machine Learning in Feature Hilbert Spaces
4. The first deep-learning search for radio technosignatures from 820 nearby stars;ma,2022
5. SETI (Search for Extra Terrestrial Intelligence) Signal Classification using Machine Learning
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